Evidence map›Paper›PMID 42545731›Full record

ReviewMedical gas research2027

Oxidative stress, aging, metabolism, SIRT1, and the gut microbiota: the neurocardiac basis of cognitive loss.

Kenneth Maiese

Abstract readReview
In one paragraph

Review in Medical gas research, 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Kenneth MaieseCellular and Molecular Signaling, New York, NY, USA.ORCID 0000-0002-5049-9116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease and cognitive loss have a neurocardiac basis. Poor vascular perfusion can impair cognitive function in both Alzheimer's disease and multiple sclerosis. However, a treatment gap exists because current approaches do not adequately address the shared underlying cellular mechanisms responsible for cognitive dysfunction in these conditions. Current treatments for cognitive impairment in diseases such as cardiovascular disease, Alzheimer's disease, multiple sclerosis, and diabetes often fail to fully address the shared underlying cellular mechanisms. Consequently, the prevailing precision treatment strategy, which focuses on managing symptoms and preventing disease progression, is insufficient. This highlights the urgent need for innovative approaches capable of targeting these common cellular pathways across these diverse conditions. Novel investigations into oxidative stress, cellular senescence, programmed cell death with apoptosis, ferroptosis, pyroptosis, and autophagy, cellular metabolism with apolipoprotein E and glucagon-like peptide-1 receptor agonism, silent mating type information regulation 2 homolog 1 ( Saccharomyces cerevisiae ), mitochondrial dynamics, and the gut microbiome offer the potential to address the risk factors and clinical treatments for cardiovascular disease and cognitive loss. These pathways are exquisitely dependent upon one another and require in-depth knowledge of the modulatory cellular mechanisms for effective translation to clinical care.

Indexed as

AgingCognitive DysfunctionGastrointestinal MicrobiomeOxidative StressSirtuin 1AnimalsHumansSirtuin 1Alzheimer’s diseaseAPOEcardiac diseasecell senescencedementiadiabetes mellitusGLP-1gut microbiotamechanistic target of rapamycin (mTOR)mitochondriamultiple sclerosisoxidative stressprogrammed cell deathsilent mating type information regulation 2 homolog 1 (SIRT1)

Identifiers

PMID42545731
PMCPMC13667359

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.